Results 41 to 50 of about 206,969 (259)
Node Classification Algorithm Based on Information Propagation Node Set for CTDN [PDF]
Jisuanji gongcheng, 2021 The study described in this paper addresses the problem of node classification in Continuous-Time Dynamic Network(CTDN).In this work, an information propagation node set is defined according to the features of the actual network information propagation ...
HUANG Xin, LI Yun, XIONG Jinyu
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Deep Learning IP Network Representations [PDF]
Proceedings of the 2018 Workshop on Big Data Analytics and Machine Learning for Data Communication Networks, 2018 We present DIP, a deep learning based framework to learn structural properties of the Internet, such as node clustering or distance between nodes. Existing embedding-based approaches use linear algorithms on a single source of data, such as latency or hop count information, to approximate the position of a node in the Internet.
Mingda Li +3 more
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Feature Hashing for Network Representation Learning [PDF]
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018 The goal of network representation learning is to embed nodes so as to encode the proximity structures of a graph into a continuous low-dimensional feature space. In this paper, we propose a novel algorithm called node2hash based on feature hashing for generating node embeddings. This approach follows the encoder-decoder framework.
Qixiang Wang +3 more
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Multiple Kernel Representation Learning on Networks [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2022 This manuscript is an extended version of the previous work entitled "Kernel Node Embeddings" (arXiv:1909.03416), and it has been accepted for publication in IEEE Transactions on Knowledge and Data ...
Abdulkadir Çelikkanat +2 more
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Active Discriminative Network Representation Learning [PDF]
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018 Most of current network representation models are learned in unsupervised fashions, which usually lack the capability of discrimination when applied to network analysis tasks, such as node classification. It is worth noting that label information is valuable for learning the discriminative network representations.
Li Gao +5 more
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A Hybrid Deep Network Representation Model for Detecting Researchers’ Communities [PDF]
Journal of Artificial Intelligence and Data Mining, 2022 Recently, network representation has attracted many research works mostly concentrating on representing of nodes in a dense low-dimensional vector. There exist some network embedding methods focusing only on the node structure and some others considering
A. Torkaman +4 more
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Representation Learning for Scale-Free Networks
Proceedings of the AAAI Conference on Artificial Intelligence, 2018 Network embedding aims to learn the low-dimensional representations of vertexes in a network, while structure and inherent properties of the network is preserved. Existing network embedding works primarily focus on preserving the microscopic structure, such as the first- and second-order proximity of vertexes, while the macroscopic ...
Rui Feng +4 more
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Hypernetwork Representation Learning with the Set Constraint
Applied Sciences, 2022 There are lots of situations that cannot be described by traditional networks but can be described perfectly by the hypernetwork in the real world. Different from the traditional network, the hypernetwork structure is more complex and poses a great ...
Yu Zhu, Haixing Zhao
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Deep Network Representation Learning Method on Incomplete Information Networks [PDF]
Jisuanji kexue, 2021 The goal of network representation learning(NRL) is embedding network nodes into low-dimensional vector space,for effective feature representation of the downstream tasks.Due to the difficulty of information collection in the real-world scene-ries,large ...
FU Kun, ZHAO Xiao-meng, FU Zi-tong, GAO Jin-hui, MA Hao-ran
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Scattering Networks for Hybrid Representation Learning [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 arXiv admin note: substantial text overlap with arXiv:1703 ...
Zagoruyko +8 more
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